CPS-Net: In-network aggregation for synchrophasor applications

Arya, Vijay; Hazra, Jagabondhu; Kodeswaran, Palanivel; Seetharam, DevaP .; Banerjee, Nilanjan; Kalyanaraman, Shivkumar

doi:10.1109/comsnets.2011.5716510

Cited by 9 publications

(9 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Application of a K-means based clustering algorithm has been suggested as a possible method to aggregate synchrophasor data in case of data overload [20]. Along these lines, in this paper the generators are clustered by identifying several patterns in the transient stability data and representing each group by one representative pattern called cluster representative.…”

Section: A Data Volume Reductionmentioning

confidence: 99%

See 1 more Smart Citation

Information processing and visualization of power system wide area time varying data

Dutta

Overbye

2013

2013 IEEE Computational Intelligence Applications in Smart Grid (CIASG)

View full text Add to dashboard Cite

This paper presents a methodology for analyzing volumes of time varying data from wide area power systems and intelligently extracting information. The contributions are twofold. Firstly, algorithms have been developed to identify distinct features of the system dynamic response, flagging outliers in the same process. The second contribution is in the use of advanced visualization tools such as "spark-lines" on geographic overlays to represent this information. The proposed methodology has been applied on 20 sec transient stability data in a system with over 2400 generators. The developed algorithms analyzed generator speeds and identified abnormal response characteristics in 2 generators. These abnormal responses were caused by errors in these generators' exciter models that were previously undetected and were subsequently corrected. This provides evidence of the capability and effectiveness of the proposed methodology as an operational tool.

show abstract

Section: A Data Volume Reductionmentioning

confidence: 99%

“…Data structures such as k-d trees can index data and speed up data processing algorithms [18]. Another method for reducing data volume proposed in the literature involves data clustering [19,20]. In this paper a K-means clustering based method for data volume reduction has been presented.…”

Section: Prior Artmentioning

confidence: 99%

Information processing and visualization of power system wide area time varying data

Dutta

Overbye

2013

2013 IEEE Computational Intelligence Applications in Smart Grid (CIASG)

View full text Add to dashboard Cite

show abstract

“…Particularly, sensemaking applications could leverage the potential of synchrophasors by serving as a force multipler by, for example, interconnecting PMU data (at the publisher level) to real-time smart grid applications (at the subscriber level) in Quality of Service (QoS) sensitive cyberphysical systems [53].…”

Section: Via Synchrophasors and Sensemakingmentioning

confidence: 99%

“…interoperability) for defining roadmap towards a more energy efficient and greener world. Synchrophasors are sensors that sample the electricity grids at 30-60Hz and publish these measurements as streams that need to be delivered reliably and in real-time to a number of synchrophasor applications [11]. Whereas most existing smart grid devices report once every two to four seconds, synchrophasors will report back, on average, 30 times a second ("10 to 60 times a second" [12]).…”

Section: Introductionmentioning

confidence: 99%

Sensemaking and robust decision engineering: Synchrophasors and their application for a secure smart grid

Chan¹,

Sala

2013

2013 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST)

View full text Add to dashboard Cite

The growing complexity of electrical power grids is demanding increasingly innovative solutions to build more stable and secure grids, a trending that is particularly evident across the spectrum of industrialized countries. Such a need is also clear for emerging countries, wherein China has rapidly become a key development player whose technological solutions could have a pivotal impact on other infrastructure-hungry regions of the world (e.g. Sub-Saharan Africa). This paper provides an overview of the smart grid transmogrification, via the state-of-the-practice application of proactive and responsive nodes -synchrophasors -within the U.S. power grid and presents a comparison with the efforts of other actors, such as China and Sub-Saharan African. Specifically, the potential advantages of the application of synchrophasors, as well as the issues challenging their application, are taken into account. As happens in ecological systems, value is created "by making connections," and synchrophasors do indeed enable "collective intelligence," "promote collaboration," and well contribute towards scalability and sustainability -the realm of Digital Ecosystems.

show abstract

“…In addition to plain forwarding on the data plane, we further build on the informationcentric primitives of the architecture to enable in-network processing of data subject to the topic to which they belong, as well as their attributes. This may include aggregation of data being disseminated in multi-source-based topics, multi-criteria filtering (e.g., location, time), and rate adaptation according to heterogeneous receivers demanding different data reporting frequencies [11]. Each topic is dedicated to delivering data from their publishers to interested subscribers, possibly with different data requirements.…”

Section: Icn Framework For Smart Gridsmentioning

confidence: 99%

Information-centric networking for machine-to-machine data delivery: a case study in smart grid applications

et al. 2014

View full text Add to dashboard Cite

he rationale behind information-centric networking (ICN) [1] is that information consumers are mainly interested in the information itself rather than the explicit network location of the data/content source (e.g., the host IP address). As such, the primary concerns of the network will no longer be on the reachability between specific hosts but on efficient information dissemination and retrieval. Accordingly, the ICN design principle has put information/data at the center of the networking landscape where information is published, resolved, delivered, and stored natively based on names rather than explicit host locations. This in turn enables a series of desirable features such as the support of in-network caching and multicast forwarding, as well as native security protection and mobility support, thanks to the spatiotemporal decoupling of the communicating entities where data producers and consumers are agnostic to where and when the data will be published/consumed by their counterparts.Given that the ICN paradigm has mostly catered for supporting content distribution operations in the public Internet, the ICN concept has been arguably regarded as a key feature in the design of future Internet architectures [1]. While it is still debatable whether this will become a reality, proposals have also been made for applying ICN to alternative application domains such as machine-to-machine (M2M) smart grid communications [2][3][4]. Similar to the current Internet, today's power grid communications are based on the host-centric model for data exchange between specific machines in the centralized supervisory control and data acquisition (SCADA) environment. In this context, we highlight the following challenges in current smart grid communication infrastructures.Decentralized large-scale data sharing: The SCADA system is expected to face distinct challenges with increased participation of new stakeholders (e.g., solar/wind farm owners) and active power prosumers 1 introduced into the grid operations. It will be very common that data originating from one device is of interest to multiple entities participating in differ- AbstractLargely motivated by the proliferation of content-centric applications in the Internet, information-centric networking has attracted the attention of the research community. By tailoring network operations around named information objects instead of end hosts, ICN yields a series of desirable features such as the spatiotemporal decoupling of communicating entities and the support of in-network caching. In this article, we advocate the introduction of such ICN features in a new, rapidly transforming communication domain: the smart grid. With the rapid introduction of multiple new actors, such as distributed (renewable) energy resources and electric vehicles, smart grids present a new networking landscape where a diverse set of multi-party machine-to-machine applications are required to enhance the observability of the power grid, often in real time and on top of a diverse set of communication in...

show abstract

CPS-Net: In-network aggregation for synchrophasor applications

Cited by 9 publications

References 24 publications

Information processing and visualization of power system wide area time varying data

Information processing and visualization of power system wide area time varying data

Sensemaking and robust decision engineering: Synchrophasors and their application for a secure smart grid

Information-centric networking for machine-to-machine data delivery: a case study in smart grid applications

Contact Info

Product

Resources

About